The static features \(f_\mathcal {O}\)  are weighted by soft-attention coefficient \(a\)  using the scaled soft-attention mechanism [1]}, before being neurally evaluated in Eq. REF :
\(f^{\prime }_{\mathcal {O}_{t+1}} = a * f^{\prime }_{\mathcal {O}_{t+1}} * h_\mathcal {O}\) 
